Ecosystem services mapping for green infrastructure planning-The case of Tehran

Spatial and temporal characteristics of rural livability and its influencing factors: implications for the development of rural revitalization strategy

Building livable rural regions is a key objective of China's rural revitalization, and fostering coordinated and sustainable regional development in China necessitates investigating the geographical and temporal distribution and influencing variables of livability in China's rural areas. This paper compares the concept and connotation of rural livability based on regional economic development theory and sustainable development theory, integrates China's rural revitalization strategy, proposes an index system for evaluating rural livability in China, and conducts an empirical analysis of livable rural areas. Firstly, the level of rural livability development is measured by the entropy method; secondly, the aggregation effect of provinces is demonstrated by using the Moran I index, and finally, the spatial Durbin model is used to explore the influencing factors of rural livability and its spatial spillover effects. Findings of our study reveal that the results of the entropy method indicate that the livability of rural China is in a growing development trend in all provinces, but the livability shows some regional disparities. The Moran index reveals that there are obvious spatial autocorrelations in the livability of Chinese rural areas, and the most typical features are the "high" and "low" clusters. The spatial Durbin model suggests that the influences on the development of rural livability are diverse. Besides, other variables such as environmental pollution and per capita housing area show a negative association with rural livability, and investment in fixed assets, cultural atmosphere and medical health show a positive relationship with rural livability. Based on the study findings, it is proposed that in the rural revitalization strategy process, the formulation of monitoring system should be strengthened and intensify the promotion of coordinated inter-regional development.

Quantitative estimation of the PM2.5 removal capacity and influencing factors of urban green infrastructure

Long-term exposure to PM_2.5 (fine particulate matter with an aerodynamic diameter <2.5 μm) could cause great harm to human health and sustainable development. It remains a challenge to estimate the long-term PM_2.5 removal capacity of nature-based green infrastructure in urban areas. In this paper, the annual PM_2.5 removal capacity of urban green infrastructure (UGI) from 2000 to 2019 in Shenyang was estimated based on the PM2.5 dry deposition model. The spatial heterogeneity of annual PM_2.5 removal capacity were detected Sen-MK test and local spatial autocorrelations analysis. Then the effects of landscape patterns and socioeconomic variables on PM_2.5 removal capacity were explored based on linear regression model. The results illustrated that the PM_2.5 removal capacity of UGI increased significantly from 2000 to 2019 in Shenyang, with the amount of PM_2.5 removal, PM_2.5 removal flux and removal rate increasing by 20.64 Mg/a, 0.0258 g/m²/a, and 0.377 %/a, respectively. The PM_2.5 removal capacity of UGI exhibited spatial heterogeneity in the study area. Specifically, the regions experiencing the increase in PM_2.5 removal capacity of UGI accounted for majority of the old urban area of Shenyang City during the study period; the lower PM_2.5 removal capacity clustered in the center urban area, in which high density impervious surfaces distributed, while the higher PM_2.5 removal capacity mainly gathered in the area with large scale green space; PM_2.5 removal capacity were significantly higher in urban functional zones with a high proportion of green spaces. The landscape metrics representing fragmentation and shape complexity positively affected the annual PM_2.5 removal flux and removal rate, while the aggregation metrics had significantly negative correlations with the PM_2.5 removal flux and removal rate. Moreover, it was also found that population density and GDP negatively affected the PM_2.5 removal capacity of UGI. This study provides a methodological reference and some new insights for future urban landscape planning and air pollution purification.

Exploring the impact mechanism of low-carbon multivariate coupling system in Chinese typical cities based on machine learning

Low-carbon city construction is one of the key issues that must be addressed for China to achieve high-quality economic development and meet the Sustainable Development Goals. This study creates a comprehensive evaluation index system of low-carbon city multivariate system based on carbon emission data from 30 typical Chinese cities from 2006 to 2017 and evaluates and analyzes the trend of city low-carbon levels using the CRITIC-TOPSIS technique and MK method. Meanwhile, the influence mechanism of the multi-coupled system is investigated using the coupling coordination degree model and random forest algorithm.The results show that there are 8 cities with a significant increasing trend of low-carbon level, 19 cities with no significant monotonic change trend, and 3 cities with a decreasing trend of low-carbon level. By analyzing the coupling coordination degree, we found that the coupling coordination degree between low-carbon level and economic development in most cities tends to increase year by year, from the initial antagonistic effect to a good coordination development trend, which confirms the "inverted U-shaped" relationship between economy and carbon emission. In addition, industrial pollutant emissions, foreign direct investment, and economic output are the core drivers of low-carbon levels in cities.

Supply-Demand Evaluation of Green Stormwater Infrastructure (GSI) Based on the Model of Coupling Coordination

The rational spatial allocation of Green Stormwater Infrastructure (GSI), which is an alternative land development approach for managing stormwater close to the source, exerts a crucial effect on coordinating urban development and hydrological sustainability. The balance between the supply and demand of urban facilities has been an influential standard for determining the rationality of this allocation. However, at this stage, research on evaluating planning from the perspective of supply-demand in GSI is still limited. This study proposed an evaluation method for assessing supply-demand levels in GSIs in Guangzhou, China, using the coupling coordination model consisting of Coupling Degree (CD) and Coupling Coordination Degree (CCD). Furthermore, the spatial distributions of supply-demand balance and resource mismatch were identified. The results indicated that the supply and demand levels of GSI exhibited significant spatial differences in distribution, with most streets being in short supply. The GSI exhibited a high CD value of 0.575 and a poor CCD value of 0.328, implying a significant imbalance in facility allocation. A lot of newly planned facilities failed to effectively cover the streets in need of improvement, so it became essential to adjust the planning scheme. The findings of this study can facilitate the decision-makers in assessing the supply-demand levels in GSI and provide a reference of facility allocation for the sustainable construction of Sponge City.

Assessing the Spatio-Temporal Pattern and Development Characteristics of Regional Ecological Resources for Sustainable Development: A Case Study on Guizhou Province, China

Sustainable development is a common challenge for all global economies, and the assessment of the spatial distribution and development process of ecological resources is the basis of sustainable development. Considering the heterogeneity of regional ecological resource endowment, it is necessary to conduct a targeted assessment for different regions. In this study, we selected Guizhou Province, which is rich in ecological resources, but has a fragile environment, as our study area, and cultivated land, woodland, grassland, and water resources were selected as critical evaluation indicators. Notably, we applied Kernel density analysis methods, based on the remote sensing data of 2000, 2005, 2010, 2015, and 2020, to explore the spatiotemporal distribution characteristics and evolution pattern of regional ecological resources. The results indicated that the evolution of ecological resource development in Guizhou could be divided into three phases: degenerative (2000–2005), recovery (2005–2015), and development (2015–2020). The spatial distribution of Guizhou’s ecological resource was shown to be heterogeneous in the north and south and more homogeneous in the middle regions. Guizhou has diverse land-use types, with obvious regional differences in land-use structure. Notably, even though the development of ecological resources in Guizhou has improved, the development and utilization degree of ecological resources is still low, and the ecological damage is serious. This study can be used as a scientific reference by policymakers and decisionmakers to develop new regulations for ecological resources protection and sustainable development in China. We suggest that different regions should adopt more detailed measures; particularly, it is important to establish a spatial governance system to promote ecological resources development in the context of local conditions.

Identification of Priority Areas for Improving Urban Ecological Carrying Capacity: Based on Supply–Demand Matching of Ecosystem Services

As the most concentrated area of human activities, cities consume many natural resources and discharge a large amount of waste into the natural environment, which has a huge environmental impact. Most of the ecological and environmental problems, such as environmental pollution, global climate change, and loss of biodiversity, are related to urban systems. How to coordinate urban development with the urban ecological carrying capacity is related to the destiny of the city itself, and also to whether its surrounding areas can successfully achieve the goal of high environmental quality and sustainable development. At present, the theory and methods of urban ecological carrying capacity research are relatively new, which has caused problems for policy makers in practical applications. This paper proposes a theoretical framework for urban ecological carrying capacity assessment based on the analysis of ecosystem services supply and demand. Combined with multi-source spatial data and spatial model methods, the supply and demand of ecosystem services were spatially quantified. The capital city of China, Beijing, was the case study area for this research. The spatial differentiation of the supply–demand relationship of ecosystem services is formed. The priority areas for ecological carrying capacity improvement at pixel scale and at the administrative level are obtained, respectively. The results show that the first priority area is concentrated in the center of the urban area, accounting for 31.11% of the total area of Beijing. According to the secondary zone and the specific ecosystem service type, the ecological carrying capacity improvement strategy of different zones is proposed. This study provides a new perspective for investigating urban ecological carrying capacity and for identifying the priority areas for ecological carrying capacity improvement, and helps the policy-makers to design tailored policy actions.

Fostering the Resiliency of Urban Landscape through the Sustainable Spatial Planning of Green Spaces

Background: It has been recognized that urban green spaces play a crucial role in providing many landscape services. The research aimed at identifying the main knowledge gaps in this framework and to support urban planning, taking into account the spatial configuration of green areas through a pilot study area, and mapping urban landscape services. Methods: In this research, (1) a systematic review, analyzed through a network analysis; (2) an urban pilot study to map the Urban Green Index and, jointly, the spatial composition and configuration of urban green areas, through the integration of three landscape metrics; and (3) the mapping of Urban Landscape Services Index have been carried out. Results: The 37% of the reviewed articles focused on regulating services, while the network analysis identified four clusters. The total Urban Green Index was 26%, and some districts showed a percentage that surpassed it. The total overall Green Connectivity Index was 21%. Some districts were the best providers of landscape services. Conclusions: This research was in line with the EU Joint Science for Policy Report suggesting giving emphasis to the spatial pattern map of green spaces in European cities to provide spatial data available for decision-makers in relation to GI deployment.

Effects of meteorological parameters and fuel composition on the air pollution production from motor vehicles

The aim of this study was to investigate the effect of changes in meteorological parameters and fuel composition on the emission rate of air pollutants in the vehicle fleet of the Tehran Metropolis. The results of this study can be used in management decisions to reduce the emission of air pollutants. In this paper, based on the international vehicle emission model and using mathematical equations, the effects of changing meteorological parameters and fuel composition on the emission of pollutants were modeled. The emission rates of CO, VOCs, and NOx pollutants were the most sensitive to the changes in meteorological parameters, respectively. Among all parameters studied in this research, the changes in sulfur level had the greatest effect on the emission of pollutants from the vehicle fleet of Tehran Metropolis. If the fuel was replaced with Euro 5 standard instead of Euro 3, the emission rates of CO, VOCs, NOx, PM, and SOx pollutants from the vehicle fleet of Tehran Metropolis would be reduced by 9%, 6%, 5%, 14%, and 90%, respectively. Managing and reducing the sources of production and emission of air pollution is one of the best ways to reduce the air pollution. In general, since the emission of pollutants from the fleet of Tehran Metropolis in the cold seasons of the year is greater than during hot seasons and the problem of air pollution is exacerbated by air stability, using Euro 5 fuel in cold seasons is one of the efficient ways to reduce the air pollution.

The Trajectories, Trends, and Opportunities for Assessing Urban Ecosystem Services: A Systematic Review of Geospatial Methods

Urban ecosystem services (UES) are indispensable for life. Stakeholders are improvising strategies for a more sustainable provisioning of UES. For this purpose and for identifying orientations towards geospatial data in UES studies, the “bibliometric analysis” technique was deployed. The inclinations facilitate assessments pertaining to spatio-temporal oscillations in the supply–demand equilibrium. The propensities are gaining recognition due to time and cost effectiveness. Besides this, Remote Sensing (RS) in conjunction with Geographic Information System (GIS), enables the conduct of synoptic and robust periodic evaluations. The study analyzes inclinations towards RS in contemporary research (2010–2020) focusing, particularly, on urban ecosystem services. It specifically focuses on methodological frameworks and major sources of remotely sensed data. Therefore, a total of 261 records of research articles were identified and retrieved. Subsequently, 79 articles were selected for further processing and content analysis. It transpired that approximately 30% of the selected publications deployed remotely sensed data for assessment purposes. The majority (96%) of such studies were conducted in economically developed and industrialized countries. However, the researchers from both developed and developing countries prefer open software and free data sources. Besides this, they prefer satellite-based optical sensors over image sensors such as TIR, SAR, or light sensors for acquiring data. The findings formulate that Land Use Land Cover (LULC)-based methodologies and inclinations for assessing regulating services are more frequently pursued. The findings revealed that enhanced research collaborations, access to data, and assessment gadgets are obligatory for capacity building in developing regions. Knowledge sharing and cost-effective access to RS and GIS based platforms are incumbent for ensuring urban environmental sustainability in developing economies.

Identifying Key Sites of Green Infrastructure to Support Ecological Restoration in the Urban Agglomeration

The loss and fragmentation of natural space has placed tremendous pressure on green infrastructure (GI), especially in urban agglomeration areas. It is of great importance to identify key sites of GI, which are used to economically and efficiently restore urban ecological network. However, in the existing research, few scholars have explored the identification and application of GI key sites. Taking the Southern Jiangsu Urban Agglomeration as an example, based on the ecosystem service assessment and landscape connectivity analysis, we identified the multi-class key sites of GI in the study area by MSPA, InVEST model, MCR model, and Linkage mapper. The results showed that: (1) a total of 60 GI sources and 130 GI corridors were extracted. The ecological resources of the study area were densely distributed in the north and south and sparsely in the middle. (2) Three-hundred eighty GI key sites were identified, including 53 water ecological points, 251 ecological fracture points, and 76 ecological pinch points. The GI key sites we identified were large in number and widely distributed, yet were hardly included in the existing ecological protection policies. These key sites should be prioritized in GI planning and differentiated for management strategies, ensuring that limited land resources and public funds can be directed to where restoration is really needed. The present study provides land managers and urban planners with additional tools to better understand how to effectively restore and develop the ecosystems of urban agglomerations in the context of scarce land resources.

Land Degradation and Development Processes and Their Response to Climate Change and Human Activity in China from 1982 to 2015

Land degradation and development (LDD) has become an urgent global issue. Quick and accurate monitoring of LDD dynamics is key to the sustainability of land resources. By integrating normalized difference vegetation index (NDVI) and net primary productivity (NPP) based on the Euclidean distance method, a LDD index (LDDI) was introduced to detect LDD processes, and to explore its quantitative relationship with climate change and human activity in China from 1985 to 2015. Overall, China has experienced significant land development, about 45% of China’s mainland, during the study period. Climate change (temperature and precipitation) played limited roles in the affected LDD, while human activity was the dominant driving force. Specifically, LDD caused by human activity accounted for about 58% of the total, while LDD caused by climate change only accounted for 0.34% of the total area. Results from the present study can provide insight into LDD processes and their driving factors and promote land sustainability in China and around the world.

Planning a Green Infrastructure Network from Theory to Practice: The Case Study of Setúbal, Portugal

Green infrastructure is a strategically planned network of natural and semi-natural areas that are designed and managed to deliver a wide range of ecosystem services. It incorporates green and blue spaces and other physical features in terrestrial and marine areas. Despite the increase of green infrastructure planning in several regions of the world, such as Europe and North America, there is still a complexity and diversity associated with the concept of green infrastructure that influences the variance in approaches of green infrastructure planning. This research proposed a multi-criteria method that was organized in four steps for designing a green infrastructure for the municipality of Setúbal (Portugal) that efficiently integrated the ecological and social components in the planning and policymaking processes, as well as green infrastructure planning principles. The results show a green infrastructure that comprised around 91% of the territory of the case study, organized into two systems: the fundamental green infrastructure, which was related to the areas whose ecological interests were more favorable, and the urban green infrastructure, which aimed to enhance and intensify ecological processes in built-up areas. This approach focused on the protection of ecological functions, the preservation of the cultural and natural heritage, and the prevention of risks at a local level; it also followed several green infrastructure planning principles, namely, connectivity, multifunctionality, diversity, integration, and applicability.

Assessing the ecological balance between supply and demand of blue-green infrastructure

Given that improving urban ecological environment requires a clear recognition of the urban ecological elements, investigating the ecosystem service capabilities of urban green-blue infrastructures (UGBIs) becomes ever important. This study aims to reveal and compare the synergistic ecosystem service ability of UGBIs with different characteristics and the relationship with human demand in Wuhan city. It was found that the climate regulation service and water regulation service value of lake-type parks both reached the highest over the other UGBIs. Nature-type parks revealed the most capable cultural service, and green-type parks demonstrated the greatest exercise cultural service value. The analysis showed that the ecosystem services delivered by the UGBIs were influenced by the park area, the total value of the normalized difference vegetation index and normalized water body index, and the distance from the city centre. Furthermore, a significant spatial phenomenon was found that the ecological capacity of lake-type parks in the city centre was higher than that of the other UGBIs at the same location. Regarding the relationship with the human activity intensity, the high-demand and high-supply regions were mainly concentrated in highly developed areas in terms of regulating services. Nevertheless, a severe environmental inequality occurred in small urban centres, which requires urgent attention from the government. This work answered the question of where and how to optimize the green-blue infrastructures in Wuhan, and it contributes to the construction of the existing blue-green space.

Ecosystem Services for Planning: A Generic Recommendation or a Real Framework? Insights from a Literature Review

Recently, the concept of Ecosystem Services (ESs) has undergone a process of mainstreaming. It has been promoted in multiple policy documents and investigated in a growing number of studies addressing the functioning, assessment and management of ESs. Despite a general recommendation to integrate ESs into planning processes, this step remains highly critical yet far from complete. This paper explores the feasibility of the recommended uses of ESs for planning purposes by examining the needs of planners and decision-makers. A systematic literature review was conducted analysing different studies to overcome the limited adoption of ESs in planning verifying their operationalisation for planning practices. The paper classifies different purpose(s) assigned to ESs supporting the planning process. The results show that few experiments have adopted a step-by-step procedure facilitating the integration of ESs into planning and highlighting their added value in each phase of the planning process. In these cases, an ES-based Green Infrastructure has allowed for their integration into planning, also adopting a multi-scale spatial dimension. More practical experiments on how a planning process works are needed to operationalise the ESs concept for planning purposes, also reinforcing the role of the Strategic Environmental Assessment that is still marginal.

Aliphatic hydrocarbons in urban runoff sediments: a case study from the megacity of Tehran, Iran

Urban runoff is known as an important contributor to diffuse a wide range of pollutants to receiving environments. Hydrocarbons are common contaminants in runoff mainly transported coupled to suspended particles and sediments. The aim of the study was to investigate the distribution and sources of Aliphatics in the sediments of Tehran's runoff drainage network. Thirty surface sediment samples were collected along with three main sub-catchments of Tehran during April 2017. The concentrations of n-Alkanes (nC-11-nC-35) and isoprenoids were determined by GC-MS, and their possible emission sources were evaluated using the biomarkers and the diagnostic ratios. Total aliphatic hydrocarbon (n-alkanes + isoprenoids) concentrations were found in the range of 2.94 to114.7 mg.kg^-1 dw with the total mean of 25.4 mg.kg-1 dw in the whole catchment. The significant concentrations of n-alkanes between n-C20 and n-C24 indicate the predominance of petrogenic origins at all stations. The CPI values range from 0.7 to 3, except the station C1S28 (CPI = 4.2). The CPI values were less than 1.6 at 70% of the stations which indicate the petrogenic nature of the aliphatic origins. Pr/Ph and LMW/HMW ratios ranged from 0.3 to 2.5 and 0.3 to 5.6 confirmed the petrogenic sources as the major origin of Aliphatics in urban runoff sediments. The ratios of n-C17/Pr and n-C18/Ph vary from 0.4 to 2.1 and 0.2 to 2.1, respectively which showed that petroleum contamination is mainly due to the degraded oil products with a lesser extent of fresh oil. Results revealed that the aliphatic hydrocarbons in the sediment samples were derived mainly from petrogenic sources such as leakage and spillage of fuels and petroleum derivatives with a relatively low contribution of biogenic sources. Vascular plants' waxes and microbial activities are identified as the most important biogenic sources of the samples. The mean concentrations of total organic carbon were 13.3,12 and14.7 mg.g^-1 dw in the sub-catchments 1, 2, and 3, respectively. Pearson correlation test demonstrated a weak correlation between the concentrations of n-alkanes and TOC (P > 0.05) with a correlation coefficient of less than 0.54 for all the sub-catchments.

Urban green infrastructure features influence the type and chemical composition of soil dissolved organic matter

In urban areas, green infrastructure (GI) has been widely developed utilizing different types of engineered soil to enhance ecosystem functions to interact with soil dissolved organic matter (DOM). However, there remains a lack of urban studies that have examined the link between GI features and soil DOM. This study, which was conducted in a typical heavily industrialized and urbanized area (Ningbo City, East China), aimed to characterize the chemical variation and composition of DOM in the engineered soil of four GI types (enhanced tree tips, ETP; street-side infiltration swales, SSIS; vegetated swales, VS; urban forests, UF). The results showed that soil organic carbon varies among the four GI types with significantly lower content in SSIS and ETP compared to VS and UF. Smaller variation was observed in the water-soluble organic carbon (WSOC) content, with UF having significantly higher content than ETP. Three humic-like substances and one protein-like substance were derived using the parallel factor analysis (PARAFAC) model. These fluorescent compositions and their spectral parameters displayed specific distributions among GI features with VS having the highest proportion of humic-like substances (C1) and the lowest proportion of protein-like substances (C4). The distribution of spectral indices indicated terrigenous sources of DOM in these GI engineered soils. Significant positive correlations were found between protein-like substances and the population density and nightlight index, while negative correlations were found between humic-like substances (C1) and these two indices. These results demonstrate significant human disturbance of the chemical composition and characteristics of GI features. Our findings suggest that the overall design and management of GI features have a fundamental influence on soil DOM that is vital for carbon cycling in urban ecosystems.

Matching Ecosystem Services Supply and Demand through Land Use Optimization: A Study of the Guangdong-Hong Kong-Macao Megacity

Shortfalls and mismatches between the supply and demand of ecosystem services (ES) can be detrimental to human wellbeing. Studies focused on these problems have increased in recent decades, but few have applied land use optimization to reduce such spatial mismatches. This study developed a methodology to identify ES mismatches and then use these mismatches as objectives for land use optimization. The methodology was applied to the Guangdong-Hong Kong-Macao "Greater Bay Area" (GBA), a megacity of over 70 million people and one of the world's largest urban agglomerations. Considering the demand for a healthy and secure living environment among city-dwellers, we focused on three ES: heat mitigation, flood mitigation, and recreational services. The results showed large spatial heterogeneity in supply and demand for these three ES. However, compared to current conditions in the GBA, our model showed that optimized land use allocation could better match the supply and demand for heat mitigation (number of beneficiaries increased by 15%), flood mitigation (amount of population exposed to flood damage decreased by 37%), and recreation (number of beneficiaries increased by 14%). By integrating land use allocation and spatial mismatch analysis, this methodology provides a feasible way to align ES supply and demand to advance urban and regional sustainability.

Planning of Urban Green Spaces: An Ecological Perspective on Human Benefits

In the context of urban land-use growth and the consequent impacts on the environment, green spaces provide ecosystem services for human health. The ecosystem services concept synthesises human–environmental interactions through a series of combined components of biodiversity and abiotic elements, linking ecological processes and functions. The concept of green infrastructure (GI) in the urban context emphasises the quality and quantity of urban and peri-urban green spaces and natural areas. In dense urban contexts, the applications of GI are limited and not applied to the potential urban spaces such as roofs and gardens. Often, roofs are characterised by impermeable paved surfaces with negative effects on human well-being, whereas garden designs do not consider social needs and environmental interactions. The role of urban stressors or the urban context as a driving force or pressure of urban green space is not always well understood and employed in the planning of green spaces. This is partly due to a knowledge gap between different science disciplines that operate on different scales, from single processes of the plants (which focus on plant responses to environmental stresses affecting human well-being) to urban ecosystems (which focus on the biodiversity and urban space planning–human well-being relationship). This can create a paradox, as green spaces that are not adequately designed might not produce the expected effects. In this paper, an overview of benefits and limitations of applying the ecosystem services approach when designing green spaces is presented. The focus is on the main urban ecosystem services provided by green roofs and community gardens such as GI that can represent strategies to provide ecological and social multifunctionality to waterproofed surfaces connected to the buildings and low-exploited gardens being the main areas that affect dense urban settlements, and thus, increasing the ecosystem services in the urban environment, such as reducing the Urban Heat Island, as well as flooding events. Specifically, the paper highlights (i) feedback between ecological processes and functions that support ecosystem services, (ii) urban environmental stresses in relation to disservices that these can create for human well-being and (iii) key issues that should be considered in the planning and design of urban ecosystem services. Such a new vision of urban ecosystem services highlights the need to look at GI as an active part of the urban space design in the built environment.

Can an improved city development index explain real development? A case study of Xian, one of the four ancient civilizations of the world

One difficulty in protecting historical and cultural cities in developing countries is the need to improve both the level of urban sustainable development and the rational use of historical and cultural resources. Currently, the city development index (CDI) ignores the fact that urban resources are being consumed at a rapidly increasing rate, and it is further unable to measure the coordination between urban development and ecosystems. The case study selected Xi'an, and calculated its CDI and ecological footprint per capita (ef), carbon footprint per capita (cf) and water footprint per capita (wf) in 2007-2017. A decoupling analysis was applied. The results showed only an 18.29% increase in the CDI, while the increase in the per capita values of the footprint family indicators are 38.97%, 44.41%, and 42.95%, respectively, which characterize the conflict between developing cities and maintaining urban ecosystems. There is no real decoupling between the CDI and the footprint family indicators, reflecting the dynamic reciprocal characteristics of "strong decoupling, expansive decoupling, weak decoupling, recessive decoupling" and indicating a very unstable situation. The analysis confirmed that the changes in the CDI and the footprint family indicators are the same as the left half of the inverted "U" of the "Environmental Kuznets Curve (EKC)" that has not yet reached its "inflection point". This discovery helps to focus attention on the role of restoring urban ecosystems to support urban development. To this end, policy suggestions are proposed to improve urban land use efficiency, encourage low-carbon energy structure to improve energy use efficiency, improve urban carbon sequestration capacity, and implement differential water prices. This study compensates for the inability of the CDI to express the state of urban ecosystems and helps enhance the understanding of the inclusive sustainable development of cities in developing countries, which embodies human well-being.

The Development Simulation of Urban Green Space System Layout Based on the Land Use Scenario: A Case Study of Xuchang City, China

The development and evolution of an urban green space system is affected by both natural effects and human intervention. The simulation and prediction of an urban green space system can enhance the foresight of urban planning. In this study, several land use change scenarios of the main urban area of Xuchang City were simulated from 2014 to 2030 based on high-resolution land use data. The layout of each scenario was evaluated using landscape indexes. A Cellular Automata–based method (i.e., future land use simulation, FLUS) was applied to develop the urban green space system, which we combined with urban land use evolution. Using recent data, the FLUS model effectively dealt with the uncertainty and complexity of various land use types under natural and human effects and solved the dependence and error transmission of multiperiod data in the traditional land use simulation process. The root mean square error (RMSE) of probability of the suitability occurrence module and the Kappa coefficient of the overall model simulation accuracy verification index both met accuracy requirements. It was feasible to combine the evolution of the urban green space system with urban land development. Moreover, under the Baseline Scenario, the urban land use layout was relatively scattered, and the urban green space system showed a disordered development trend. The Master Plan Scenario had a compact urban land use layout, and the green space system was characterized by networking and systematization, but it did not consider the service capacity of the green space. The Planning Guidance Scenario introduced constraint conditions (i.e., a spatial development strategy, green space accessibility, and ecological sensitivity), which provided a more intensive and efficient urban space and improved the service function of the green space system layout. Managers and planners can evaluate the urban future land use development mode under different constraints. Moreover, they would be able to adjust the urban planning in the implementation process. This work has transformed the technical nature of the planning work from “static results” to a “dynamic process”.